added image creation script for web app

Author: sudivate

ml_service/util/create_scoring_image.py

@@ -0,0 +1,62 @@
+import os
+from azureml.core import Workspace
+from azureml.core.image import ContainerImage, Image
+from azureml.core.model import Model
+from dotenv import load_dotenv
+from azureml.core.authentication import ServicePrincipalAuthentication
+
+load_dotenv()
+
+TENANT_ID = os.environ.get('TENANT_ID')
+APP_ID = os.environ.get('APP_ID')
+APP_SECRET = os.environ.get('APP_SECRET')
+WORKSPACE_NAME = os.environ.get('WORKSPACE_NAME')
+SUBSCRIPTION_ID = os.environ.get('SUBSCRIPTION_ID')
+RESOURCE_GROUP = os.environ.get('RESOURCE_GROUP')
+MODEL_NAME = os.environ.get('MODEL_NAME')
+MODEL_VERSION = os.environ.get('MODEL_VERSION')
+IMAGE_NAME = os.environ.get('IMAGE_NAME')
+
+
+SP_AUTH = ServicePrincipalAuthentication(
+    tenant_id=TENANT_ID,
+    service_principal_id=APP_ID,
+    service_principal_password=APP_SECRET)
+
+ws = Workspace.get(
+    WORKSPACE_NAME,
+    SP_AUTH,
+    SUBSCRIPTION_ID,
+    RESOURCE_GROUP
+)
+
+
+model = Model(ws, name=MODEL_NAME, version=MODEL_VERSION)
+os.chdir("./code/scoring")
+
+image_config = ContainerImage.image_configuration(
+    execution_script="score.py",
+    runtime="python",
+    conda_file="conda_dependencies.yml",
+    description="Image with ridge regression model",
+    tags={"area": "diabetes", "type": "regression"},
+)
+
+image = Image.create(
+    name=IMAGE_NAME, models=[model], image_config=image_config, workspace=ws
+)
+
+image.wait_for_creation(show_output=True)
+
+if image.creation_state != "Succeeded":
+    raise Exception("Image creation status: {image.creation_state}")
+
+print(
+    "{}(v.{} [{}]) stored at {} with build log {}".format(
+        image.name,
+        image.version,
+        image.creation_state,
+        image.image_location,
+        image.image_build_log_uri,
+    )
+)